Abstract

Wireless Sensor Networks have a wide range of applications including environmental monitoring. Thesenetworks consist of wireless sensor nodes which are densely deployed to provide a wider coverage area.The dense deployment of the sensor node provides spatial correlation in the network. In this paper anefficient data gathering approach is implemented by combining the dual prediction and clusteringalgorithm. Clustering algorithm based on spatial correlation is used to cluster the sensor nodes. Thenwithin the cluster, the nodes send their data to the sink using the Normalized Least Mean Square dualprediction algorithm. Simulation results show that the proposed algorithm reduces the average energyconsumption of the network.

References

No relevant information is available
If you register references through the customer center, the reference information will be registered as soon as possible.